Michael Chertkov

Orcid: 0000-0002-6758-515X

According to our database1, Michael Chertkov authored at least 176 papers between 2004 and 2024.

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Bibliography

2024
Harmonic Path Integral Diffusion.
CoRR, 2024

Physics-Informed Building Occupancy Detection: a Switching Process with Markov Regime.
CoRR, 2024

Physics-Informed Critic in an Actor-Critic Reinforcement Learning for Swimming in Turbulence.
CoRR, 2024

Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence.
CoRR, 2024

Space-Time Bridge-Diffusion.
CoRR, 2024

2023
Universality and Control of Fat Tails.
IEEE Control. Syst. Lett., 2023

System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel.
CoRR, 2023

Geospatial Tessellation in the Agent-In-Cell Model: A Framework for Agent-Based Modeling of Pandemic.
CoRR, 2023

U-Turn Diffusion.
CoRR, 2023

Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty.
CoRR, 2023

A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study.
CoRR, 2023

Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms.
CoRR, 2023

2022
Statistical Mechanics of Thermostatically Controlled Multi-Zone Buildings.
CoRR, 2022

Machine Learning for Electricity Market Clearing.
CoRR, 2022

Toward Model Reduction for Power System Transients With Physics-Informed PDE.
IEEE Access, 2022

2021
Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems?
Frontiers Big Data, 2021

Model Reduction of Swing Equations with Physics Informed PDE.
CoRR, 2021

Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence.
CoRR, 2021

Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming.
CoRR, 2021

Embedding Power Flow into Machine Learning for Parameter and State Estimation.
CoRR, 2021

Message Passing Descent for Efficient Machine Learning.
CoRR, 2021

Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems.
CoRR, 2021

Neural Particle Image Velocimetry.
CoRR, 2021

2020
Graphical Models in Meshed Distribution Grids: Topology Estimation, Change Detection & Limitations.
IEEE Trans. Smart Grid, 2020

Learning With End-Users in Distribution Grids: Topology and Parameter Estimation.
IEEE Trans. Control. Netw. Syst., 2020

Joint Estimation of Topology and Injection Statistics in Distribution Grids With Missing Nodes.
IEEE Trans. Control. Netw. Syst., 2020

Smarter Smart District Heating.
Proc. IEEE, 2020

A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications.
Proc. IEEE, 2020

Multienergy Systems.
Proc. IEEE, 2020

Super-relaxation of space-time-quantized ensemble of energy loads.
CoRR, 2020

A Hierarchical Approach to Multi-Energy Demand Response: From Electricity to Multi-Energy Applications.
CoRR, 2020

Data-Driven Learning and Load Ensemble Control.
CoRR, 2020

Physics informed topology learning in networks of linear dynamical systems.
Autom., 2020

2019
Optimal Load Ensemble Control in Chance-Constrained Optimal Power Flow.
IEEE Trans. Smart Grid, 2019

Operations- and Uncertainty-Aware Installation of FACTS Devices in a Large Transmission System.
IEEE Trans. Control. Netw. Syst., 2019

Guest Editorial Special Issue on Analysis, Control, and Optimization of Energy Networks.
IEEE Trans. Control. Netw. Syst., 2019

Tractable Minor-free Generalization of Planar Zero-field Ising Models.
CoRR, 2019

A New Family of Tractable Ising Models.
CoRR, 2019

Graphical Models in Loopy Distribution Grids: Topology estimation, change detection and limitation.
CoRR, 2019

A Markov Process Approach to Ensemble Control of Smart Buildings.
CoRR, 2019

Learning a Generator Model from Terminal Bus Data.
CoRR, 2019

Stochastic Battery Operations using Deep Neural Networks.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2019

Inference and Sampling of $K_33$-free Ising Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Maximum Weight Matching Using Odd-Sized Cycles: Max-Product Belief Propagation and Half-Integrality.
IEEE Trans. Inf. Theory, 2018

Structure Learning in Power Distribution Networks.
IEEE Trans. Control. Netw. Syst., 2018

Structure- and Physics-Preserving Reductions of Power Grid Models.
Multiscale Model. Simul., 2018

Inference and Sampling of K<sub>33</sub>-free Ising Models.
CoRR, 2018

Gauges, Loops, and Polynomials for Partition Functions of Graphical Models.
CoRR, 2018

From Deep to Physics-Informed Learning of Turbulence: Diagnostics.
CoRR, 2018

Real-time Fault Localization in Power Grids With Convolutional Neural Networks.
CoRR, 2018

Mean Field Control for Efficient Mixing of Energy Loads.
CoRR, 2018

Power of Ensemble Diversity and Randomization for Energy Aggregation.
CoRR, 2018

Joint Estimation of Topology \& Injection Statistics in Distribution Grids with Missing Nodes.
CoRR, 2018

Topology Estimation using Graphical Models in Multi-Phase Power Distribution Grids.
CoRR, 2018

Bucket Renormalization for Approximate Inference.
Proceedings of the 35th International Conference on Machine Learning, 2018

Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Topology Learning of Radial Dynamical Systems with Latent Nodes.
Proceedings of the 2018 Annual American Control Conference, 2018

Belief Propagation Min-Sum Algorithm for Generalized Min-Cost Network Flow.
Proceedings of the 2018 Annual American Control Conference, 2018

Gauged Mini-Bucket Elimination for Approximate Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Learning in Power Distribution Grids under Correlated Injections.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Exact Topology and Parameter Estimation in Distribution Grids with Minimal Observability.
CoRR, 2017

Online Learning of Power Transmission Dynamics.
CoRR, 2017

Optimal Ensemble Control of Loads in Distribution Grids with Network Constraints.
CoRR, 2017

Chance-Constrained ADMM Approach for Decentralized Control of Distributed Energy Resources.
CoRR, 2017

Importance sampling the union of rare events with an application to power systems analysis.
CoRR, 2017

Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization.
CoRR, 2017

Structure- & Physics- Preserving Reductions of Power Grid Models.
CoRR, 2017

Methodology for Multi-stage, Operations- and Uncertainty-Aware Placement and Sizing of FACTS Devices in a Large Power Transmission System.
CoRR, 2017

Topology Estimation in Bulk Power Grids: Guarantees on Exact Recovery.
CoRR, 2017

Thermal Transients in District Heating Systems.
CoRR, 2017

Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows.
CoRR, 2017

Ensemble Control of Cycling Energy Loads: Markov Decision Approach.
CoRR, 2017

Ensemble of Thermostatically Controlled Loads: Statistical Physics Approach.
CoRR, 2017

Graphical models for optimal power flow.
Constraints An Int. J., 2017

Integrated multi-scale data analytics and machine learning for the distribution grid.
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Estimating topology and injection statistics in distribution grids with hidden nodes.
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Gauging Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

State and noise covariance estimation in power grids using limited nodal PMUs.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Learning Exact Topology of a Loopy Power Grid from Ambient Dynamics.
Proceedings of the Eighth International Conference on Future Energy Systems, 2017

Adiabatic approach for natural gas pipeline computations.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Chance constrained optimal power flow with primary frequency response.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Learning Planar Ising Models.
J. Mach. Learn. Res., 2016

Chance Constrained Optimal Power Flow with Curtailment and Reserves from Wind Power Plants.
CoRR, 2016

Optimal structure and parameter learning of Ising models.
CoRR, 2016

Optimal Placement and Sizing of FACTS Devices to Delay Transmission Expansion.
CoRR, 2016

MCMC assisted by Belief Propagaion.
CoRR, 2016

Learning topology of distribution grids using only terminal node measurements.
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016

Optimal power flow with wind power control and limited expected risk of overloads.
Proceedings of the Power Systems Computation Conference, 2016

Estimating distribution grid topologies: A graphical learning based approach.
Proceedings of the Power Systems Computation Conference, 2016

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Synthesis of MCMC and Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Assessing Risk of Gas Shortage in Coupled Gas-Electricity Infrastructures.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Monotonicity of actuated flows on dissipative transport networks.
Proceedings of the 15th European Control Conference, 2016

Learning topology of the power distribution grid with and without missing data.
Proceedings of the 15th European Control Conference, 2016

Tractable structure learning in radial physical flow networks.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Control policies for operational coordination of electric power and natural gas transmission systems.
Proceedings of the 2016 American Control Conference, 2016

Monotone operator approach to power flow solutions.
Proceedings of the 2016 American Control Conference, 2016

2015
Optimal Compression in Natural Gas Networks: A Geometric Programming Approach.
IEEE Trans. Control. Netw. Syst., 2015

Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach.
CoRR, 2015

Solving the Power Flow Equations: A Monotone Operator Approach.
CoRR, 2015

Solving the Power Flow Equations: A Monotone Operator Theory Approach.
CoRR, 2015

Minimum Weight Perfect Matching via Blossom Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Optimal Sizing of Voltage Control Devices for Distribution Circuit with Intermittent Load.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Pressure Fluctuations in Natural Gas Networks Caused by Gas-Electric Coupling.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Optimal control of transient flow in natural gas networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal Power Flow with Weighted chance constraints and general policies for generation control.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A differential analysis of the power flow equations.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Convexity of structure preserving energy functions in power transmission: Novel results and applications.
Proceedings of the American Control Conference, 2015

2014
Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty.
SIAM Rev., 2014

Fault Induced Delayed Voltage Recovery in a Long Inhomogeneous Power Distribution Feeder.
CoRR, 2014

Cascading of Fluctuations in Interdependent Energy Infrastructures: Gas-Grid Coupling.
CoRR, 2014

Efficient Synchronization Stability Metrics for Fault Clearing.
CoRR, 2014

Storage Sizing and Placement through Operational and Uncertainty-Aware Simulations.
Proceedings of the 47th Hawaii International Conference on System Sciences, 2014

2013
Approximating the permanent with fractional belief propagation.
J. Mach. Learn. Res., 2013

Optimal Distributed Control of Reactive Power via the Alternating Direction Method of Multipliers.
CoRR, 2013

Reinforcing Power Grid Transmission with FACTS Devices.
CoRR, 2013

Loop Calculus and Bootstrap-Belief Propagation for Perfect Matchings on Arbitrary Graphs.
CoRR, 2013

Stochastic Optimal Control as Non-equilibrium Statistical Mechanics: Calculus of Variations over Density and Current.
CoRR, 2013

Synchronization-Aware and Algorithm-Efficient Chance Constrained Optimal Power Flow.
CoRR, 2013

A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Improved linear programming decoding using frustrated cycles.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Belief Propagation for Linear Programming.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Robust modeling of probabilistic uncertainty in smart Grids: Data ambiguous Chance Constrained Optimum Power Flow.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Sparse and optimal wide-area damping control in power networks.
Proceedings of the American Control Conference, 2013

2012
Learning price-elasticity of smart consumers in power distribution systems.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Distributed control of generation in a transmission grid with a high penetration of renewables.
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

DistFlow ODE: Modeling, analyzing and controlling long distribution feeder.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Synchronization assessment in power networks and coupled oscillators.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Predicting Failures in Power Grids: The Case of Static Overloads.
IEEE Trans. Smart Grid, 2011

An Efficient Instanton Search Algorithm for LP Decoding of LDPC Codes Over the BSC.
IEEE Trans. Inf. Theory, 2011

Counting Independent Sets Using the Bethe Approximation.
SIAM J. Discret. Math., 2011

Options for Control of Reactive Power by Distributed Photovoltaic Generators.
Proc. IEEE, 2011

Computing the Permanent with Belief Propagation
CoRR, 2011

Operations-Based Planning for Placement and Sizing of Energy Storage in a Grid With a High Penetration of Renewables
CoRR, 2011

Voltage Collapse and ODE Approach to Power Flows: Analysis of a Feeder Line with Static Disorder in Consumption/Production
CoRR, 2011

Controlled Tripping of Overheated Lines Mitigates Power Outages
CoRR, 2011

Linear programming based detectors for two-dimensional intersymbol interference channels.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Polytope of correct (linear programming) decoding and low-weight pseudo-codewords.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Smart finite state devices: A modeling framework for demand response technologies.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Exact and efficient algorithm to discover extreme stochastic events in wind generation over transmission Power Grids.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation.
J. Mach. Learn. Res., 2010

Learning Planar Ising Models
CoRR, 2010

Non-Equilibrium Statistical Physics of Currents in Queuing Networks.
CoRR, 2010

Worst configurations (instantons) for Compressed Sensing over reals: A channel coding approach.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Message Passing for Integrating and Assessing Renewable Generation in a Redundant Power Grid.
Proceedings of the 43rd Hawaii International International Conference on Systems Science (HICSS-43 2010), 2010

A majorization-minimization approach to design of power transmission networks.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Instanton-based techniques for analysis and reduction of error floors of LDPC codes.
IEEE J. Sel. Areas Commun., 2009

Belief Propagation and Loop Calculus for Permanent of a Non-Negative Matrix
CoRR, 2009

Bethe Free Energy Approach to LDPC Decoding on Memory Channels
CoRR, 2009

Message Passing for Optimization and Control of Power Grid: Toy Model of Distribution with Ancillary Lines
CoRR, 2009

Planar Graphical Models which are Easy
CoRR, 2009

Analysis of error floors of LDPC codes under LP decoding over the BSC.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Orbit-product representation and correction of Gaussian belief propagation.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
An Efficient Pseudocodeword Search Algorithm for Linear Programming Decoding of LDPC Codes.
IEEE Trans. Inf. Theory, 2008

Fermions and Loops on Graphs. II. Monomer-Dimer Model as Series of Determinants
CoRR, 2008

Fermions and Loops on Graphs. I. Loop Calculus for Determinant
CoRR, 2008

Irreversible Monte Carlo Algorithms for Efficient Sampling
CoRR, 2008

Provably Efficient Instanton Search Algorithm for LP decoding of LDPC codes over the BSC
CoRR, 2008

Belief Propagation and Beyond for Particle Tracking
CoRR, 2008

Exactness of Belief Propagation for some Graphical Models with Loops
CoRR, 2008

Belief Propagation and Loop Series on Planar Graphs.
CoRR, 2008

Loop Calculus for Satisfiability.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Searching for low weight pseudo-codewords
CoRR, 2007

Reducing the Error Floor
CoRR, 2007

Pseudo-codeword Landscape.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Loop Calculus and Belief Propagation for q-ary Alphabet: Loop Tower.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2006
Loop Calculus Helps to Improve Belief Propagation and Linear Programming Decodings of Low-Density-Parity-Check Codes
CoRR, 2006

Improving convergence of Belief Propagation decoding
CoRR, 2006

An Efficient Pseudo-Codeword Search Algorithm for Linear Programming Decoding of LDPC Codes
CoRR, 2006

Loop series for discrete statistical models on graphs
CoRR, 2006

Loop Calculus in Statistical Physics and Information Science
CoRR, 2006

Instanton analysis of Low-Density Parity-Check codes in the error-floor regime.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

2005
The error-floor of LDPC codes in the Laplacian channel
CoRR, 2005

Diagnosis of weaknesses in modern error correction codes: a physics approach
CoRR, 2005

2004
Instanton method of post-error-correction analytical evaluation.
Proceedings of the 2004 IEEE Information Theory Workshop, 2004


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